Consumer grade EEG measuring sensors as research tools: A review
Since the launch of the first consumer grade EEG measuring sensorsNeuroSky Mindset'in
2007, the market has witnessed an introduction of at least one new product every year by …
2007, the market has witnessed an introduction of at least one new product every year by …
[HTML][HTML] A systemic review of available low-cost EEG headsets used for drowsiness detection
J LaRocco, MD Le, DG Paeng - Frontiers in neuroinformatics, 2020 - frontiersin.org
Drowsiness is a leading cause of traffic and industrial accidents, costing lives and
productivity. Electroencephalography (EEG) signals can reflect awareness and …
productivity. Electroencephalography (EEG) signals can reflect awareness and …
Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG
Abstract Background and objective Attention-Deficit/Hyperactivity Disorder (ADHD) is a
chronic behavioral disorder in children. Children with ADHD face many difficulties in …
chronic behavioral disorder in children. Children with ADHD face many difficulties in …
Noninvasive electroencephalography equipment for assistive, adaptive, and rehabilitative brain–computer interfaces: a systematic literature review
Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …
any physical movement, thus aiding people with severe motor disabilities in communicating …
Diversity and suitability of the state-of-the-art wearable and wireless EEG systems review
C He, YY Chen, CR Phang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Wireless electroencephalography (EEG) systems have been attracting increasing attention
in recent times. Both the number of articles discussing wireless EEG and their proportion …
in recent times. Both the number of articles discussing wireless EEG and their proportion …
Brain–computer interface games based on consumer-grade EEG Devices: A systematic literature review
ABSTRACT Brain–Computer Interfaces (BCIs) are specialized systems that allow users to
control computer applications using their brain waves. With the advent of consumer-grade …
control computer applications using their brain waves. With the advent of consumer-grade …
LEDPatNet19: Automated emotion recognition model based on nonlinear LED pattern feature extraction function using EEG signals
Electroencephalography (EEG) signals collected from human brains have generally been
used to diagnose diseases. Moreover, EEG signals can be used in several areas such as …
used to diagnose diseases. Moreover, EEG signals can be used in several areas such as …
Optimal channels and features selection based ADHD detection from EEG signal using statistical and machine learning techniques
Attention deficit hyperactivity disorder (ADHD) is one of the major psychiatric and
neurodevelopment disorders worldwide. Electroencephalography (EEG) signal-based …
neurodevelopment disorders worldwide. Electroencephalography (EEG) signal-based …
Wearable brain–computer interface instrumentation for robot-based rehabilitation by augmented reality
An instrument for remote control of the robot by wearable brain-computer interface (BCI) is
proposed for rehabilitating children with attention-deficit/hyperactivity disorder (ADHD) …
proposed for rehabilitating children with attention-deficit/hyperactivity disorder (ADHD) …